A comprehensive swarming intelligent method for optimizing deep learning-based object detection by unmanned ground vehicles

• Qian Xu,

  Roles Writing – original draft, Writing – review & editing

  Affiliations College of Computer Science and Technology, Jilin University, Changchun, People’s Republic of China, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, People’s Republic of China, State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, People’s Republic of China

  https://orcid.org/0000-0002-5344-4831

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• Gang Wang ,

  Roles Conceptualization, Writing – original draft

  * E-mail: wanggang.jlu@gmail.com

  Affiliations College of Computer Science and Technology, Jilin University, Changchun, People’s Republic of China, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, People’s Republic of China, State Key Laboratory of Automotive Simulation and Control, Jilin University, Changchun, People’s Republic of China

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• Ying Li,

  Roles Writing – review & editing

  Affiliations College of Computer Science and Technology, Jilin University, Changchun, People’s Republic of China, Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, Jilin University, Changchun, People’s Republic of China

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• Ling Shi,

  Roles Writing – review & editing

  Affiliation Department of Electronic and Computer Engineering, Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong

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• Yaxin Li

  Roles Writing – review & editing

  Affiliation College of Automotive Engineering, Jilin University, Changchun, People’s Republic of China

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